Author: <Brandon Seo> Email: hyunduck1024@gmail.com
Date: Last modified on <08/18/19>
Keywords: <moments, hsv, Tutorial, step-by-step>
This tutorial's motivation is to practice basic autonomous system using ROS. Readers of this tutorial assumes the reader has the following background and interests:

* know how to use opencv_tutorial.
* background of c++.
* This tutorial may also attract readers who want to study opencv.
The rest of this tutorial is presented as follows:

• Parts List and Sources
• Construction
• Programming <!- delete this line if not applicable →
• Final Words

Readers of this tutorial assumes the reader has the following background and interests:
To run this tutorial. The following should be completed OPENCV Tutorial - opencv_videocapture
OPENCV Detecting ball- Object recognition, Object position recognition Detecting ball

It was relatively easy to find the centers of the circle.
But when it came to finding the centroid of an arbitrary shape, the methods were not straightforward. Because the camera couldn't always catch the perfect circle.
So, We're going to modify detecting code using a moments funtion..
This is guide for moments moments function
It can be more accurate than simply using stats.


We can find the center of the ball using moments in OpenCV

If you don't know well about HSV color, click this. HSV_opencv
it could be easy to set up the low high value of the HSV.

Now you can create trackbars since you've done the above.
Trackbars are very useful in lots of occasions. It enables users to change various parameters while the OpenCV application is running.

finally, you can make Opencv code on your own.

This is what I did opencv_trackbar_code

Final Words For questions, clarifications, etc, Email: [email protected]